Estimating Carbon, Nitrogen, and Phosphorus Contents of West-East Grassland Transect in Inner Mongolia Based on Sentinel-2 and Meteorological Data
文献类型：期刊论文
| 作者 | Pang, Haiyang2,3; Zhang, Aiwu2,3; Yin, Shengnan2,3; Zhang, Jiaxin2,3; Dong, Gang4; He, Nianpeng1; Qin, Wenxuan2,3; Wei, Dandan5 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022 |
| 卷号 | 14期号:2页码:25 |
| 关键词 | Sentinel-2 grassland C N P fractional differential spectra Inner Mongolia Plateau |
| DOI | 10.3390/rs14020242 |
| 通讯作者 | Zhang, Aiwu(zhangaiwu@cnu.edu.cn) |
| 英文摘要 | Estimating the carbon (C), nitrogen (N), and phosphorus (P) contents of a large-span grassland transect is essential for evaluating ecosystem functioning and monitoring biogeochemical cycles. However, the field measurements are scattered, such that they cannot indicate the continuous gradient change in the grassland transect. Although remote sensing methods have been applied for the estimation of nutrient elements at the local scale in recent years, few studies have considered the effective estimation of C, N, and P contents over large-span grassland transects with complex environment including a variety of grassland types (i.e., meadow, typical grassland, and desert grassland). In this paper, an information enhancement algorithm (involving spectral enhancement, regional enhancement, and feature enhancement) is used to extract the weak information related to C, N, and P. First, the spectral simulation algorithm is used to enhance the spectral information of Sentinel-2 imagery. Then, the enhanced spectra and meteorological data are fused to express regional characteristics and the fractional differential (FD) algorithm is used to extract sensitive spectral features related to C, N, and P, in order to construct a partial least-squares regression (PLSR) model. Finally, the C, N, and P contents are estimated over a West-East grassland transect in Inner Mongolia, China. The results demonstrate that: (i) the contents of C, N, and P in large-span transects can be effectively estimated through use of the information enhancement method involving spectral enhancement, regional feature enhancement, and information enhancement, for which the estimation accuracies (R-2) were 0.88, 0.78, and 0.85, respectively. Compared with the estimation results of raw Sentinel-2 imagery, the RMSE was reduced by 3.42 g/m(2), 0.14 g/m(2), and 13.73 mg/m(2), respectively; and (ii) the continuous change trend and spatial distribution characteristics of C, N, and P contents in the west-east transect of the Inner Mongolia Plateau were obtained, which showed decreasing trends in C, N, and P contents from east to west and the characteristics of meadow > typical grassland > desert grassland. Thus, the information enhancement algorithm can help to improve estimates of C, N, and P contents when considering large-span grassland transects. |
| WOS关键词 | HYPERSPECTRAL DATA ; LEAF NITROGEN ; SEQUESTRATION ; ECOSYSTEMS ; ALGORITHMS ; DYNAMICS ; PLATEAU ; SPECTRA ; BIOMASS ; MODELS |
| 资助项目 | National Natural Science Foundation of China[42071303] ; National Science and Technology Basic Resources Survey Program of China[2019FY101300] ; Joint program of Beijing Municipal Education Commission ; Beijing Municipal Natural Science Foundation[KZ202110028044] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000747155100001 |
| 出版者 | MDPI |
| 资助机构 | National Natural Science Foundation of China ; National Science and Technology Basic Resources Survey Program of China ; Joint program of Beijing Municipal Education Commission ; Beijing Municipal Natural Science Foundation |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/170136]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Aiwu |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 2.Capital Normal Univ, Key Lab 3D Informat Acquisit & Applicat, Minist Educ, Beijing 100048, Peoples R China 3.Capital Normal Univ, Engn Res Ctr Spatial Informat Technol, Minist Educ, Beijing 100048, Peoples R China 4.Shanxi Univ, Sch Life Sci, Taiyuan 030006, Peoples R China 5.Land Satellite Remote Sensing Applicat Ctr, Minist Nat Resource, Beijing 100048, Peoples R China |
| 推荐引用方式 GB/T 7714 | Pang, Haiyang,Zhang, Aiwu,Yin, Shengnan,et al. Estimating Carbon, Nitrogen, and Phosphorus Contents of West-East Grassland Transect in Inner Mongolia Based on Sentinel-2 and Meteorological Data[J]. REMOTE SENSING,2022,14(2):25. |
| APA | Pang, Haiyang.,Zhang, Aiwu.,Yin, Shengnan.,Zhang, Jiaxin.,Dong, Gang.,...&Wei, Dandan.(2022).Estimating Carbon, Nitrogen, and Phosphorus Contents of West-East Grassland Transect in Inner Mongolia Based on Sentinel-2 and Meteorological Data.REMOTE SENSING,14(2),25. |
| MLA | Pang, Haiyang,et al."Estimating Carbon, Nitrogen, and Phosphorus Contents of West-East Grassland Transect in Inner Mongolia Based on Sentinel-2 and Meteorological Data".REMOTE SENSING 14.2(2022):25. |
入库方式： OAI收割
来源：地理科学与资源研究所
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